Gene expression networks in the Drosophila Genetic Reference Panel

  1. Trudy F.C. Mackay1,8
  1. 1Program in Genetics, W.M. Keck Center for Behavioral Biology and Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina 27695-7614, USA;
  2. 2University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina 27516, USA;
  3. 3Key Laboratory for Animal Biotechnology of Jiangxi Province and the Ministry of Agriculture of China, JiangXi Agricultural University, JiangXi, China
  1. 4 These authors contributed equally to this work.

  • Present addresses: 5Environmental Protection Agency, Durham, NC 27709, USA; 6Department of Animal Science, Michigan State University, East Lansing, MI 48824, USA; 7Covance Incorporated, Morrisville, NC 27560, USA; 8Center for Human Genetics and Department of Genetics and Biochemistry, Clemson University, Greenwood, SC 29646, USA; 9Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL 60637, USA

  • Corresponding author: tmackay{at}clemson.edu
  • Abstract

    A major challenge in modern biology is to understand how naturally occurring variation in DNA sequences affects complex organismal traits through networks of intermediate molecular phenotypes. This question is best addressed in a genetic mapping population in which all molecular polymorphisms are known and for which molecular endophenotypes and complex traits are assessed on the same genotypes. Here, we performed deep RNA sequencing of 200 Drosophila Genetic Reference Panel inbred lines with complete genome sequences and for which phenotypes of many quantitative traits have been evaluated. We mapped expression quantitative trait loci for annotated genes, novel transcribed regions, transposable elements, and microbial species. We identified host variants that affect expression of transposable elements, independent of their copy number, as well as microbiome composition. We constructed sex-specific expression quantitative trait locus regulatory networks. These networks are enriched for novel transcribed regions and target genes in heterochromatin and euchromatic regions of reduced recombination, as well as genes regulating transposable element expression. This study provides new insights regarding the role of natural genetic variation in regulating gene expression and generates testable hypotheses for future functional analyses.

    Footnotes

    • [Supplemental material is available for this article.]

    • Article published online before print. Article, supplemental material, and publication date are at http://www.genome.org/cgi/doi/10.1101/gr.257592.119.

    • Freely available online through the Genome Research Open Access option.

    • Received September 26, 2019.
    • Accepted February 28, 2020.

    This article, published in Genome Research, is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/.

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